2025 年 55 巻 2 号 p. 217-235
This study explored a process for identifying resident needs and developing optimized park planning policies, using Sanuki City as a case study. A questionnaire was administered to assess expectations for parks, followed by a quantitative analysis using a rank-ordered logit model for conjoint analysis. This allowed for the estimation of the willingness to pay for different park attributes by demographic groups. The results showed that although “quiet and relaxing” parks were most valued overall, preferences varied significantly by resident attributes. Nonetheless, there was a common desire for multifunctional park use across all groups.
Based on the analysis, a hypothetical park plan was proposed, and its selection probability among residents simulated. The plan was generally supported by the broader proportion of the population. However, it showed limited appeal to households with young children.
Recognizing the diversity of expectations, we propose the holding of resident-participatory workshops as a potential avenue for further advancements. These workshops would use data-driven insights and simulation results to guide discussions and support the formulation of more targeted and effective park policies.
JEL Classification:R52, R58, Q51